ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Jan 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
February 2026
Nuclear Technology
December 2025
Fusion Science and Technology
November 2025
Latest News
The top 10 states of nuclear
The past few years have seen a concerted effort from many U.S. states to encourage nuclear development. The momentum behind nuclear-friendly policies has grown considerably, with many states repealing moratoriums, courting nuclear developers and suppliers, and in some cases creating advisory groups and road maps to push deployment of new nuclear reactors.
Noboru Kobayashi, Ryota Hirano, Youichi Enokida, Ichiro Yamamoto
Fusion Science and Technology | Volume 44 | Number 2 | September 2003 | Pages 415-419
Technical Paper | Fusion Energy - Tritium and Safety and Environment | doi.org/10.13182/FST03-A370
Articles are hosted by Taylor and Francis Online.
The pressure dependence of separation factors of the columns for H2-HT mixture was measured for practical design of "cryogenic-wall" thermal diffusion columns for tritium handling system. Experiments were performed with 1,020 mm-height column with a 4.8 mm-outer-radius tube heated by hot-water and a 11.5 mm-inner-radius tube cooled by liquid nitrogen. The maximum total separation factor was 12.7 at 80 kPa for H2-HT separation. By using another column with 9.53 mm-outer-radius tube heated by hot-water and a 14.2 mm-inner-radius tube, the separation factor was 64.4 at 144 kPa, and the separation will be larger at higher pressure.Comparison of numerical calculations of axial and radial two-dimensional flow and concentration distribution with experimental data revealed that our code could predict the pressure dependence of separation factor of the columns well.